Results 1 to 10 of about 1,522,365 (296)

Improving Responsiveness: Our Journey from Manual Yearly Updates to Automated Linkage for Near Real-Time Understanding of Outcomes and Modelling Future Service Demand [PDF]

International Journal of Population Data Science
Objective Demand for real-time data during the COVID-19 pandemic revealed a need to increase efficiencies in manual linkage processes to respond to events in near real-time.
Philip Witowski, Mark Sipthorp, Adam Ismail, Windra Sulaiman, Beverley Phillips, Sharon Williams   +5 more
doaj   +2 more sources

Leveraging Machine Learning to Combat Missingness and Error in Data [PDF]

International Journal of Population Data Science
Objective Poor quality data confounds efforts to link clients across datasets. To combat this, we have trialed an approach which seeks to identify linkage candidates using associations with related services.  We utilised a machine learning (ML) approach
Beverley Phillips, Philip Witowski, Windra Sulaiman, Adam Ismail, Mark Sipthorp, Sharon Williams   +5 more
doaj   +2 more sources

Establishment of an Australian National Master Linkage Key (NMLK) between AIHW Health Linkage spine (HLS) and Jurisdictional Master Linkage Keys (MLK) - NSW example [PDF]

International Journal of Population Data Science
Objectives This paper describes a Population Health Research Network project establishing the NMLK as a national linkage system utilising an enduring linkage between national and jurisdictional linkage spines.
Elena Ougrinovski, Clinton Paine, Natalie Cooper, Pooja Nair, Michael Smith, Rama Devi Voruganti, Merran Smith, Felicity Flack   +7 more
doaj   +2 more sources

Family Matters: Enhancing Insight in Linked Administrative Data Through Familial Linkage [PDF]

International Journal of Population Data Science
Objective Familial relationships can provide researchers with important insight into genetic, environmental, and social influences across many domains of research.
Beverley Phillips, Philip Witowski, Adam Ismail, Windra Sulaiman, Mark Sipthorp, Sharon Williams   +5 more
doaj   +2 more sources

Improving Cardiac Insights: Harnessing Privacy-Preserving Record Linkage (PPRL) to Obtain, Link, and Enhance Data for a Healthier Australia [PDF]

International Journal of Population Data Science
Objective General Practices (GPs) collect vital information on health and disease in Australia, however much of this sensitive data is difficult to share for linkage purposes due to confidentiality and privacy concerns. PPRL techniques have presented an
Philip Witowski, Windra Sulaiman, Mark Sipthorp, Adam Ismail, Beverley Phillips, Sharon Williams   +5 more
doaj   +2 more sources

How public and participant voices have influenced the UK Longitudinal Linkage Collaboration and its Trusted Research Environment.

International Journal of Population Data Science, 2022
Objectives UK longitudinal population studies have complex governance structures and participant safeguards. As a new Trusted Research Environment (TRE) for >20 longitudinal studies, the UK Longitudinal Linkage Collaboration (UK LLC) must ensure ...
Kirsteen Campbell, Rebecca Whitehorn, Andy Boyd, Robin Flaig, Stela McLachlan, Christie Levein, Jacqueline Oakley, Sarah Chave, Michael Gregg, Della Ogunleye   +9 more
doaj   +1 more source

The UK Longitudinal Linkage Collaboration legal & governance framework: managing ‘delegated and distributed’ data processing working with cross-sectorial data owners.

International Journal of Population Data Science, 2022
Objectives The UK Longitudinal Linkage Collaboration (UKLLC) was established to link and integrate data from many longitudinal population studies (LPS) with participants’ records from diverse governmental data owners across the UK.
Jacqui Oakley, Robin Flaig, Emma Turner, Kirsteen Campbell, Katharine Evans, Stela McLachlan, Richard Thomas, Andrew Boyd   +7 more
doaj   +1 more source

A blinded evaluation of privacy preserving record linkage with Bloom filters

BMC Medical Research Methodology, 2022
Background Privacy preserving record linkage (PPRL) methods using Bloom filters have shown promise for use in operational linkage settings. However real-world evaluations are required to confirm their suitability in practice.
Sean Randall, Helen Wichmann, Adrian Brown, James Boyd, Tom Eitelhuber, Alexandra Merchant, Anna Ferrante   +6 more
doaj   +1 more source

Population Data Centre Profile - The Western Australian Data Linkage Branch

International Journal of Population Data Science, 2020
Established in 1995, the Western Australian Data Linkage Branch (DLB) is Australia’s longest running data linkage agency. The Western Australian Data Linkage System (WADLS) employs an enduring linkage model spanning over 60 data collections supported by ...
Steve Hodges, Tom Eitelhuber, Alexandra Merchant, Janine Alan   +3 more
doaj   +1 more source

High-density SNP association study of the 17q21 chromosomal region linked to autism identifies CACNA1G as a novel candidate gene. [PDF]

, 2009
Chromosome 17q11-q21 is a region of the genome likely to harbor susceptibility to autism (MIM(209850)) based on earlier evidence of linkage to the disorder.
Cantor, RM, Geschwind, DH, Merriman, B, Nelson, SF, Stone, JL, Strom, SP, Ten Bosch, JR   +6 more
core   +3 more sources